Machine Learning Engineer

Full time

For our innovation team at WeGroup, we are looking for a brilliant machine learning engineer that can support the development of our data driven solutions for our partners in the insurance world. We are looking for a genuine team player that likes to take initiative in an innovative and ambitious startup environment. Reach out to us to find out what compensation you can package, what challenges you’ll get to face and what growth opportunities you can seize!

Your future

  • Adapting and applying state-of-the-art machine learning techniques to a variety of structured (tabular), perceptual (imagery, natural language), and relational (graph valued) datasets
  • Running through the entire ML lifecycle (understanding the problem, data processing, model training and evaluation, integration and testing, and monitoring)
  • Processing a wide range of data sets like insurance claim forms, address data, weather data,…
  • Consulting and web scraping of external data sets and online sources for increasing the quality and precision of our core product, Louise
  • Creating reliable and operating applications taking into account the needs of the organization
  • Researching state of the art machine learning techniques for the field of insurances
  • Working closely with back-end developers to improve our models and push through our release process

Your potential

  • Thrives on innovation and takes initiative
  • Good command of Python and Machine Learning
  • Experience with big data analyses is an added value
  • Excellent analytical skills 
  • Loves taking part in team activities
  • Proficient in English and sarcasm

Your future at WeGroup

Before starting

Defining the ideal responsibilities for your potential.

After 1 month

Giving your thoughts and getting feedback about working together at WeGroup.

After 6 months

Seizing a personal opportunity for growth.

First week

Onboarding and integration with your team members.

After 3 months

Reflect on personal goals and ambitions and creating a personal development plan

Apply for this job

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